Trainee Project
Title:
Autonomous and Connected Vehicle: Estimation of State Variables for Dynamic Tracking
Dates:
2025/03/15 - 2025/09/15
Student:
Supervisor(s):
Description:
The objective of this internship is to implement estimation methods developed at the CRAN laboratory, in collaboration with Segula Technology, for tracking autonomous vehicles in a simulation environment based on Carla and the ROS2 robotics framework, applied to a miniature LIMO vehicle. These algorithms aim to enhance robustness against malicious attacks (cyber or physical), system failures, and various internal or external disturbances. They will also facilitate the identification of forces applied to the tires, which depend on dynamic parameters that are often challenging to measure accurately.
Department(s):
| Control Identification Diagnosis |